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• [P1021] Autonomous Emotional Expression Generation of a Robotic Face
  Author(s): Meng-Ju Han, Chia-How Lin, Kai-Tai Song
  
  

  Abstract
  This paper presents a novel design on autonomous robotic facial expression generation using a fuzzy-neuro network. The emotional characteristics of a robot can be given in this design by assigning the weights in the fuzzy-neuro network. The robotic face generates appropriate expressions in responding to the image recognition results of a user's emotional state and the assigned robotic emotional characteristics. In this study, two contrast emotional characteristics (optimistic and pessimistic) have been tested to respond for observed user emotional states (neutral, happiness, sadness and anger). Computer simulations of a robotic face show that the proposed facial expression generation system effectively responds to a user's emotional states in a human-like manner by fusing the output of three facial expressions (boring, happiness and sadness).

  
   

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